This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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171
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #309051 |
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Title:
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Covariate-Adjusted Confidence Intervals for the Mann-Whitney Effect
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Author(s):
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George Luta*+ and Ionut Bebu
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Companies:
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Georgetown University and Georgetown University Medical Center
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Address:
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, Washington, DC, ,
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Keywords:
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empirical likelihood ;
covariate adjustment
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Abstract:
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A nonparametric approach is proposed for inference regarding the Mann-Whitney effect (e.g. the probability that a subject randomized to the experimental treatment has a higher response than a subject randomized to the control treatment) with adjustment for covariates. New covariate-adjusted confidence intervals are constructed using empirical likelihood and related methods. Their operating characteristics, including the coverage probability and the average confidence interval length, are compared through simulation with those from alternative methods.
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